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Edge AI: discover the new limits of Artificial Intelligence

mjvinnovation

Ten years ago, we would not imagine that Artificial Intelligence would be at today’s levels. Edge AI is the processing of Artificial Intelligence algorithms on edge, that is, on users’ devices. Besides, they can apply Deep Learning models and advanced algorithms autonomously.

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Applications and innovations in the Internet of Things (IoT)

hackerearth

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. By 2020, the smart healthcare market value is predicted to be US$ 169.32 Real-world applications of IoT can be found in several sectors: 1. Healthcare.

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Vision: the superpowers of Machine Learning

mjvinnovation

Created by Tony Stark, the android is such an advanced artificial intelligence that it has awakened self-consciousness in the events of Avengers: the Age of Ultron. In our Data Science universe, it represents Machine Learning. Machine learning is nothing more than a model of data analysis.

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Exploring High-Growth Opportunities in Software Engineering

Tullio Siragusa

Exploring High-Growth Opportunities in Software Engineering The software industry is a mature and vast market with a high demand for software engineers. The software industry is constantly evolving, and there are always new technologies and programming languages to learn, such as cloud computing, AI, blockchain, and machine learning.

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Optimizing R&D Resources: Strategies for CTOs and Innovation Leaders

ITONICS

Between 2007 and 2022, corporate R&D spending grew with a CAGR of 5.2%, underscoring the importance of R&D in driving future growth and market differentiation ( Global Innovation Tracker, 2023 ).

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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

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Data Science: Infinity War

mjvinnovation

In the coming weeks, we will post a series of posts here on the blog, where we will explain the details of the transformations guided by the new Data Age – which still faces a lot of different organizations. The Data Revolution: Which side do you want to stay in? The Data Revolution: Which side do you want to stay in?

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